Overview

Dataset statistics

Number of variables13
Number of observations10840
Missing cells1485
Missing cells (%)1.1%
Duplicate rows410
Duplicate rows (%)3.8%
Total size in memory1.2 MiB
Average record size in memory112.0 B

Variable types

Text5
Categorical5
Numeric2
DateTime1

Alerts

Dataset has 410 (3.8%) duplicate rowsDuplicates
Type is highly imbalanced (62.0%)Imbalance
Content Rating is highly imbalanced (61.5%)Imbalance
Rating has 1474 (13.6%) missing valuesMissing
Reviews has 596 (5.5%) zerosZeros

Reproduction

Analysis started2023-10-16 08:55:40.001523
Analysis finished2023-10-16 08:58:17.001070
Duration2 minutes and 37 seconds
Software versionydata-profiling vv4.6.0
Download configurationconfig.json

Variables

App
Text

Distinct9659
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size169.4 KiB
2023-10-16T11:58:17.255013image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Length

Max length194
Median length75
Mean length22.517435
Min length1

Characters and Unicode

Total characters244089
Distinct characters478
Distinct categories18 ?
Distinct scripts16 ?
Distinct blocks27 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8861 ?
Unique (%)81.7%

Sample

1st rowPhoto Editor & Candy Camera & Grid & ScrapBook
2nd rowColoring book moana
3rd rowU Launcher Lite – FREE Live Cool Themes, Hide Apps
4th rowSketch - Draw & Paint
5th rowPixel Draw - Number Art Coloring Book
ValueCountFrequency (%)
2823
 
6.6%
for 560
 
1.3%
free 514
 
1.2%
app 332
 
0.8%
and 283
 
0.7%
the 270
 
0.6%
mobile 222
 
0.5%
news 195
 
0.5%
video 194
 
0.5%
live 194
 
0.5%
Other values (9548) 36991
86.9%
2023-10-16T11:58:17.804776image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31738
 
13.0%
e 19418
 
8.0%
a 14836
 
6.1%
o 13636
 
5.6%
r 13241
 
5.4%
i 12140
 
5.0%
t 10334
 
4.2%
n 9846
 
4.0%
s 8716
 
3.6%
l 8546
 
3.5%
Other values (468) 101638
41.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 154480
63.3%
Uppercase Letter 47206
 
19.3%
Space Separator 31739
 
13.0%
Other Punctuation 4082
 
1.7%
Dash Punctuation 2675
 
1.1%
Decimal Number 2381
 
1.0%
Close Punctuation 350
 
0.1%
Open Punctuation 346
 
0.1%
Other Letter 341
 
0.1%
Other Symbol 232
 
0.1%
Other values (8) 257
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 13
 
3.8%
ر 9
 
2.6%
ل 7
 
2.1%
イ 6
 
1.8%
인 6
 
1.8%
ق 5
 
1.5%
ب 5
 
1.5%
ح 5
 
1.5%
ゲ 5
 
1.5%
카 4
 
1.2%
Other values (214) 276
80.9%
Lowercase Letter
ValueCountFrequency (%)
e 19418
12.6%
a 14836
 
9.6%
o 13636
 
8.8%
r 13241
 
8.6%
i 12140
 
7.9%
t 10334
 
6.7%
n 9846
 
6.4%
s 8716
 
5.6%
l 8546
 
5.5%
c 4924
 
3.2%
Other values (71) 38843
25.1%
Uppercase Letter
ValueCountFrequency (%)
C 4227
 
9.0%
S 3850
 
8.2%
A 3236
 
6.9%
B 3040
 
6.4%
P 2875
 
6.1%
F 2839
 
6.0%
D 2805
 
5.9%
T 2716
 
5.8%
M 2705
 
5.7%
E 2500
 
5.3%
Other values (39) 16413
34.8%
Other Symbol
ValueCountFrequency (%)
™ 99
42.7%
® 56
24.1%
🔥 6
 
2.6%
🍀 6
 
2.6%
❤ 5
 
2.2%
★ 5
 
2.2%
♥ 4
 
1.7%
° 4
 
1.7%
✨ 3
 
1.3%
🎨 3
 
1.3%
Other values (34) 41
17.7%
Other Punctuation
ValueCountFrequency (%)
: 999
24.5%
& 979
24.0%
, 901
22.1%
. 587
14.4%
' 225
 
5.5%
! 150
 
3.7%
/ 128
 
3.1%
? 39
 
1.0%
# 17
 
0.4%
" 13
 
0.3%
Other values (9) 44
 
1.1%
Decimal Number
ValueCountFrequency (%)
0 463
19.4%
2 452
19.0%
1 440
18.5%
3 279
11.7%
8 203
8.5%
4 175
 
7.3%
5 112
 
4.7%
7 111
 
4.7%
6 79
 
3.3%
9 67
 
2.8%
Math Symbol
ValueCountFrequency (%)
+ 133
67.9%
| 51
 
26.0%
~ 5
 
2.6%
> 2
 
1.0%
× 1
 
0.5%
≡ 1
 
0.5%
↔ 1
 
0.5%
｜ 1
 
0.5%
∞ 1
 
0.5%
Nonspacing Mark
ValueCountFrequency (%)
️ 5
38.5%
् 2
 
15.4%
ိ 1
 
7.7%
် 1
 
7.7%
္ 1
 
7.7%
্ 1
 
7.7%
ិ 1
 
7.7%
ី 1
 
7.7%
Spacing Mark
ValueCountFrequency (%)
া 4
26.7%
ា 2
13.3%
ি 2
13.3%
ং 2
13.3%
ा 2
13.3%
ो 1
 
6.7%
ো 1
 
6.7%
ឿ 1
 
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 2502
93.5%
– 146
 
5.5%
— 21
 
0.8%
－ 2
 
0.1%
‐ 2
 
0.1%
― 1
 
< 0.1%
〜 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 321
91.7%
] 22
 
6.3%
】 3
 
0.9%
） 3
 
0.9%
」 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 317
91.6%
[ 22
 
6.4%
【 3
 
0.9%
（ 3
 
0.9%
「 1
 
0.3%
Final Punctuation
ValueCountFrequency (%)
’ 19
90.5%
” 1
 
4.8%
» 1
 
4.8%
Space Separator
ValueCountFrequency (%)
31738
> 99.9%
　 1
 
< 0.1%
Modifier Letter
ValueCountFrequency (%)
ー 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 201621
82.6%
Common 42034
 
17.2%
Arabic 86
 
< 0.1%
Hangul 76
 
< 0.1%
Han 70
 
< 0.1%
Katakana 59
 
< 0.1%
Cyrillic 58
 
< 0.1%
Bengali 18
 
< 0.1%
Khmer 13
 
< 0.1%
Ethiopic 13
 
< 0.1%
Other values (6) 41
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
31738
75.5%
- 2502
 
6.0%
: 999
 
2.4%
& 979
 
2.3%
, 901
 
2.1%
. 587
 
1.4%
0 463
 
1.1%
2 452
 
1.1%
1 440
 
1.0%
) 321
 
0.8%
Other values (98) 2652
 
6.3%
Latin
ValueCountFrequency (%)
e 19418
 
9.6%
a 14836
 
7.4%
o 13636
 
6.8%
r 13241
 
6.6%
i 12140
 
6.0%
t 10334
 
5.1%
n 9846
 
4.9%
s 8716
 
4.3%
l 8546
 
4.2%
c 4924
 
2.4%
Other values (87) 85984
42.6%
Han
ValueCountFrequency (%)
恋 3
 
4.3%
哈 2
 
2.9%
国 2
 
2.9%
女 2
 
2.9%
性 2
 
2.9%
向 2
 
2.9%
愛 2
 
2.9%
乐 1
 
1.4%
屋 1
 
1.4%
网 1
 
1.4%
Other values (52) 52
74.3%
Hangul
ValueCountFrequency (%)
인 6
 
7.9%
카 4
 
5.3%
송 3
 
3.9%
방 3
 
3.9%
용 2
 
2.6%
트 2
 
2.6%
포 2
 
2.6%
드 2
 
2.6%
성 2
 
2.6%
터 2
 
2.6%
Other values (47) 48
63.2%
Katakana
ValueCountFrequency (%)
イ 6
 
10.2%
ゲ 5
 
8.5%
ム 4
 
6.8%
リ 3
 
5.1%
ス 3
 
5.1%
レ 3
 
5.1%
ン 3
 
5.1%
ル 3
 
5.1%
グ 2
 
3.4%
ジ 2
 
3.4%
Other values (24) 25
42.4%
Cyrillic
ValueCountFrequency (%)
и 6
 
10.3%
е 5
 
8.6%
о 4
 
6.9%
с 3
 
5.2%
в 3
 
5.2%
л 3
 
5.2%
т 3
 
5.2%
Р 3
 
5.2%
к 2
 
3.4%
н 2
 
3.4%
Other values (17) 24
41.4%
Arabic
ValueCountFrequency (%)
ا 13
15.1%
ر 9
 
10.5%
ل 7
 
8.1%
ق 5
 
5.8%
ب 5
 
5.8%
ح 5
 
5.8%
ع 4
 
4.7%
و 4
 
4.7%
ن 4
 
4.7%
ف 4
 
4.7%
Other values (16) 26
30.2%
Ethiopic
ValueCountFrequency (%)
ቄ 1
 
7.7%
ዎ 1
 
7.7%
ች 1
 
7.7%
ያ 1
 
7.7%
ጥ 1
 
7.7%
ዊ 1
 
7.7%
ሳ 1
 
7.7%
መ 1
 
7.7%
ጽ 1
 
7.7%
ሐ 1
 
7.7%
Other values (3) 3
23.1%
Bengali
ValueCountFrequency (%)
া 4
22.2%
ি 2
11.1%
ল 2
11.1%
ং 2
11.1%
ব 2
11.1%
ভ 1
 
5.6%
ট 1
 
5.6%
প 1
 
5.6%
্ 1
 
5.6%
র 1
 
5.6%
Khmer
ValueCountFrequency (%)
ន 2
15.4%
ា 2
15.4%
ត 1
7.7%
រ 1
7.7%
ឿ 1
7.7%
ង 1
7.7%
ិ 1
7.7%
ទ 1
7.7%
ឥ 1
7.7%
ស 1
7.7%
Devanagari
ValueCountFrequency (%)
ा 2
18.2%
र 2
18.2%
् 2
18.2%
ो 1
9.1%
त 1
9.1%
प 1
9.1%
म 1
9.1%
ग 1
9.1%
Hiragana
ValueCountFrequency (%)
け 2
25.0%
を 1
12.5%
む 1
12.5%
な 1
12.5%
あ 1
12.5%
く 1
12.5%
ご 1
12.5%
Greek
ValueCountFrequency (%)
σ 2
28.6%
β 1
14.3%
Α 1
14.3%
Ε 1
14.3%
Κ 1
14.3%
Σ 1
14.3%
Myanmar
ValueCountFrequency (%)
သ 1
20.0%
ိ 1
20.0%
င 1
20.0%
် 1
20.0%
္ 1
20.0%
Hebrew
ValueCountFrequency (%)
ה 1
20.0%
פ 1
20.0%
ק 1
20.0%
ו 1
20.0%
ת 1
20.0%
Inherited
ValueCountFrequency (%)
️ 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 242988
99.5%
None 329
 
0.1%
Punctuation 197
 
0.1%
Letterlike Symbols 100
 
< 0.1%
Arabic 86
 
< 0.1%
Hangul 76
 
< 0.1%
CJK 70
 
< 0.1%
Katakana 67
 
< 0.1%
Cyrillic 58
 
< 0.1%
Bengali 18
 
< 0.1%
Other values (17) 100
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31738
 
13.1%
e 19418
 
8.0%
a 14836
 
6.1%
o 13636
 
5.6%
r 13241
 
5.4%
i 12140
 
5.0%
t 10334
 
4.3%
n 9846
 
4.1%
s 8716
 
3.6%
l 8546
 
3.5%
Other values (77) 100537
41.4%
Punctuation
ValueCountFrequency (%)
– 146
74.1%
— 21
 
10.7%
’ 19
 
9.6%
• 5
 
2.5%
‐ 2
 
1.0%
― 1
 
0.5%
“ 1
 
0.5%
” 1
 
0.5%
‼ 1
 
0.5%
Letterlike Symbols
ValueCountFrequency (%)
™ 99
99.0%
℠ 1
 
1.0%
None
ValueCountFrequency (%)
® 56
 
17.0%
é 33
 
10.0%
í 19
 
5.8%
á 19
 
5.8%
ı 16
 
4.9%
İ 14
 
4.3%
· 10
 
3.0%
ü 8
 
2.4%
ú 6
 
1.8%
🔥 6
 
1.8%
Other values (80) 142
43.2%
Arabic
ValueCountFrequency (%)
ا 13
15.1%
ر 9
 
10.5%
ل 7
 
8.1%
ق 5
 
5.8%
ب 5
 
5.8%
ح 5
 
5.8%
ع 4
 
4.7%
و 4
 
4.7%
ن 4
 
4.7%
ف 4
 
4.7%
Other values (16) 26
30.2%
Katakana
ValueCountFrequency (%)
ー 8
 
11.9%
イ 6
 
9.0%
ゲ 5
 
7.5%
ム 4
 
6.0%
リ 3
 
4.5%
ス 3
 
4.5%
レ 3
 
4.5%
ン 3
 
4.5%
ル 3
 
4.5%
グ 2
 
3.0%
Other values (25) 27
40.3%
Hangul
ValueCountFrequency (%)
인 6
 
7.9%
카 4
 
5.3%
송 3
 
3.9%
방 3
 
3.9%
용 2
 
2.6%
트 2
 
2.6%
포 2
 
2.6%
드 2
 
2.6%
성 2
 
2.6%
터 2
 
2.6%
Other values (47) 48
63.2%
Cyrillic
ValueCountFrequency (%)
и 6
 
10.3%
е 5
 
8.6%
о 4
 
6.9%
с 3
 
5.2%
в 3
 
5.2%
л 3
 
5.2%
т 3
 
5.2%
Р 3
 
5.2%
к 2
 
3.4%
н 2
 
3.4%
Other values (17) 24
41.4%
Dingbats
ValueCountFrequency (%)
❤ 5
50.0%
✨ 3
30.0%
✔ 2
 
20.0%
Misc Symbols
ValueCountFrequency (%)
★ 5
45.5%
♥ 4
36.4%
♪ 2
 
18.2%
VS
ValueCountFrequency (%)
️ 5
100.0%
Bengali
ValueCountFrequency (%)
া 4
22.2%
ি 2
11.1%
ল 2
11.1%
ং 2
11.1%
ব 2
11.1%
ভ 1
 
5.6%
ট 1
 
5.6%
প 1
 
5.6%
্ 1
 
5.6%
র 1
 
5.6%
CJK
ValueCountFrequency (%)
恋 3
 
4.3%
哈 2
 
2.9%
国 2
 
2.9%
女 2
 
2.9%
性 2
 
2.9%
向 2
 
2.9%
愛 2
 
2.9%
乐 1
 
1.4%
屋 1
 
1.4%
网 1
 
1.4%
Other values (52) 52
74.3%
Khmer
ValueCountFrequency (%)
ន 2
15.4%
ា 2
15.4%
ត 1
7.7%
រ 1
7.7%
ឿ 1
7.7%
ង 1
7.7%
ិ 1
7.7%
ទ 1
7.7%
ឥ 1
7.7%
ស 1
7.7%
IPA Ext
ValueCountFrequency (%)
ə 2
100.0%
Latin Ext Additional
ValueCountFrequency (%)
ệ 2
66.7%
ậ 1
33.3%
Geometric Shapes
ValueCountFrequency (%)
◆ 2
66.7%
► 1
33.3%
Hiragana
ValueCountFrequency (%)
け 2
25.0%
を 1
12.5%
む 1
12.5%
な 1
12.5%
あ 1
12.5%
く 1
12.5%
ご 1
12.5%
Devanagari
ValueCountFrequency (%)
ा 2
18.2%
र 2
18.2%
् 2
18.2%
ो 1
9.1%
त 1
9.1%
प 1
9.1%
म 1
9.1%
ग 1
9.1%
Myanmar
ValueCountFrequency (%)
သ 1
20.0%
ိ 1
20.0%
င 1
20.0%
် 1
20.0%
္ 1
20.0%
Misc Technical
ValueCountFrequency (%)
⏰ 1
100.0%
Emoticons
ValueCountFrequency (%)
😍 1
20.0%
😂 1
20.0%
😄 1
20.0%
😜 1
20.0%
😘 1
20.0%
Math Operators
ValueCountFrequency (%)
≡ 1
50.0%
∞ 1
50.0%
Ethiopic
ValueCountFrequency (%)
ቄ 1
 
7.7%
ዎ 1
 
7.7%
ች 1
 
7.7%
ያ 1
 
7.7%
ጥ 1
 
7.7%
ዊ 1
 
7.7%
ሳ 1
 
7.7%
መ 1
 
7.7%
ጽ 1
 
7.7%
ሐ 1
 
7.7%
Other values (3) 3
23.1%
Enclosed Alphanum Sup
ValueCountFrequency (%)
🇺 1
50.0%
🇸 1
50.0%
Arrows
ValueCountFrequency (%)
↔ 1
100.0%
Hebrew
ValueCountFrequency (%)
ה 1
20.0%
פ 1
20.0%
ק 1
20.0%
ו 1
20.0%
ת 1
20.0%

Category
Categorical

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size169.4 KiB
FAMILY
1972 
GAME
1144 
TOOLS
843 
MEDICAL
 
463
BUSINESS
 
460
Other values (28)
5958 

Length

Max length19
Median length16
Mean length9.0244465
Min length4

Characters and Unicode

Total characters97825
Distinct characters24
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowART_AND_DESIGN
2nd rowART_AND_DESIGN
3rd rowART_AND_DESIGN
4th rowART_AND_DESIGN
5th rowART_AND_DESIGN

Common Values

ValueCountFrequency (%)
FAMILY 1972
18.2%
GAME 1144
 
10.6%
TOOLS 843
 
7.8%
MEDICAL 463
 
4.3%
BUSINESS 460
 
4.2%
PRODUCTIVITY 424
 
3.9%
PERSONALIZATION 392
 
3.6%
COMMUNICATION 387
 
3.6%
SPORTS 384
 
3.5%
LIFESTYLE 382
 
3.5%
Other values (23) 3989
36.8%

Length

2023-10-16T11:58:18.021574image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
family 1972
18.2%
game 1144
 
10.6%
tools 843
 
7.8%
medical 463
 
4.3%
business 460
 
4.2%
productivity 424
 
3.9%
personalization 392
 
3.6%
communication 387
 
3.6%
sports 384
 
3.5%
lifestyle 382
 
3.5%
Other values (23) 3989
36.8%

Most occurring characters

ValueCountFrequency (%)
A 10424
 
10.7%
I 8783
 
9.0%
E 7958
 
8.1%
N 7335
 
7.5%
O 7125
 
7.3%
S 6558
 
6.7%
L 6189
 
6.3%
T 5894
 
6.0%
M 5155
 
5.3%
_ 3575
 
3.7%
Other values (14) 28829
29.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 94250
96.3%
Connector Punctuation 3575
 
3.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 10424
11.1%
I 8783
 
9.3%
E 7958
 
8.4%
N 7335
 
7.8%
O 7125
 
7.6%
S 6558
 
7.0%
L 6189
 
6.6%
T 5894
 
6.3%
M 5155
 
5.5%
D 3556
 
3.8%
Other values (13) 25273
26.8%
Connector Punctuation
ValueCountFrequency (%)
_ 3575
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 94250
96.3%
Common 3575
 
3.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 10424
11.1%
I 8783
 
9.3%
E 7958
 
8.4%
N 7335
 
7.8%
O 7125
 
7.6%
S 6558
 
7.0%
L 6189
 
6.6%
T 5894
 
6.3%
M 5155
 
5.5%
D 3556
 
3.8%
Other values (13) 25273
26.8%
Common
ValueCountFrequency (%)
_ 3575
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 97825
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 10424
 
10.7%
I 8783
 
9.0%
E 7958
 
8.1%
N 7335
 
7.5%
O 7125
 
7.3%
S 6558
 
6.7%
L 6189
 
6.3%
T 5894
 
6.0%
M 5155
 
5.3%
_ 3575
 
3.7%
Other values (14) 28829
29.5%

Rating
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)0.4%
Missing1474
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean4.1917574
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size169.4 KiB
2023-10-16T11:58:18.222730image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q14
median4.3
Q34.5
95-th percentile4.8
Maximum5
Range4
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.51521886
Coefficient of variation (CV)0.12291237
Kurtosis5.7869241
Mean4.1917574
Median Absolute Deviation (MAD)0.2
Skewness-1.8496951
Sum39260
Variance0.26545047
MonotonicityNot monotonic
2023-10-16T11:58:18.434803image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
4.4 1109
10.2%
4.3 1076
9.9%
4.5 1038
9.6%
4.2 952
8.8%
4.6 823
7.6%
4.1 708
 
6.5%
4 568
 
5.2%
4.7 499
 
4.6%
3.9 386
 
3.6%
3.8 303
 
2.8%
Other values (29) 1904
17.6%
(Missing) 1474
13.6%
ValueCountFrequency (%)
1 16
0.1%
1.2 1
 
< 0.1%
1.4 3
 
< 0.1%
1.5 3
 
< 0.1%
1.6 4
 
< 0.1%
1.7 8
0.1%
1.8 8
0.1%
1.9 13
0.1%
2 12
0.1%
2.1 8
0.1%
ValueCountFrequency (%)
5 274
 
2.5%
4.9 87
 
0.8%
4.8 234
 
2.2%
4.7 499
4.6%
4.6 823
7.6%
4.5 1038
9.6%
4.4 1109
10.2%
4.3 1076
9.9%
4.2 952
8.8%
4.1 708
6.5%

Reviews
Real number (ℝ)

ZEROS 

Distinct6001
Distinct (%)55.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean444152.9
Minimum0
Maximum78158306
Zeros596
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size169.4 KiB
2023-10-16T11:58:18.657400image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q138
median2094
Q354775.5
95-th percentile1462042.6
Maximum78158306
Range78158306
Interquartile range (IQR)54737.5

Descriptive statistics

Standard deviation2927760.6
Coefficient of variation (CV)6.5917855
Kurtosis341.06036
Mean444152.9
Median Absolute Deviation (MAD)2094
Skewness16.449584
Sum4.8146174 × 109
Variance8.5717822 × 1012
MonotonicityNot monotonic
2023-10-16T11:58:18.876832image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 596
 
5.5%
1 272
 
2.5%
2 214
 
2.0%
3 175
 
1.6%
4 137
 
1.3%
5 108
 
1.0%
6 97
 
0.9%
7 90
 
0.8%
8 74
 
0.7%
9 65
 
0.6%
Other values (5991) 9012
83.1%
ValueCountFrequency (%)
0 596
5.5%
1 272
2.5%
2 214
 
2.0%
3 175
 
1.6%
4 137
 
1.3%
5 108
 
1.0%
6 97
 
0.9%
7 90
 
0.8%
8 74
 
0.7%
9 65
 
0.6%
ValueCountFrequency (%)
78158306 1
< 0.1%
78128208 1
< 0.1%
69119316 2
< 0.1%
69109672 1
< 0.1%
66577446 1
< 0.1%
66577313 2
< 0.1%
66509917 1
< 0.1%
56646578 1
< 0.1%
56642847 2
< 0.1%
44893888 1
< 0.1%

Size
Text

Distinct461
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size169.4 KiB
2023-10-16T11:58:19.223280image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Length

Max length18
Median length5
Mean length5.7054428
Min length3

Characters and Unicode

Total characters61847
Distinct characters26
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique245 ?
Unique (%)2.3%

Sample

1st row19M
2nd row14M
3rd row8.7M
4th row25M
5th row2.8M
ValueCountFrequency (%)
varies 1695
 
11.9%
device 1695
 
11.9%
with 1695
 
11.9%
11m 198
 
1.4%
12m 196
 
1.4%
14m 194
 
1.4%
13m 191
 
1.3%
15m 184
 
1.3%
17m 160
 
1.1%
19m 154
 
1.1%
Other values (453) 7868
55.3%
2023-10-16T11:58:19.759120image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
M 8829
 
14.3%
i 5085
 
8.2%
e 5085
 
8.2%
. 3609
 
5.8%
3390
 
5.5%
1 3095
 
5.0%
2 2791
 
4.5%
3 2342
 
3.8%
4 1966
 
3.2%
5 1741
 
2.8%
Other values (16) 23914
38.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 25741
41.6%
Decimal Number 18583
30.0%
Uppercase Letter 10524
17.0%
Other Punctuation 3609
 
5.8%
Space Separator 3390
 
5.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 5085
19.8%
e 5085
19.8%
c 1695
 
6.6%
a 1695
 
6.6%
v 1695
 
6.6%
d 1695
 
6.6%
h 1695
 
6.6%
t 1695
 
6.6%
w 1695
 
6.6%
s 1695
 
6.6%
Other values (2) 2011
 
7.8%
Decimal Number
ValueCountFrequency (%)
1 3095
16.7%
2 2791
15.0%
3 2342
12.6%
4 1966
10.6%
5 1741
9.4%
6 1518
8.2%
7 1409
7.6%
9 1394
7.5%
8 1309
7.0%
0 1018
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
M 8829
83.9%
V 1695
 
16.1%
Other Punctuation
ValueCountFrequency (%)
. 3609
100.0%
Space Separator
ValueCountFrequency (%)
3390
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 36265
58.6%
Common 25582
41.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 8829
24.3%
i 5085
14.0%
e 5085
14.0%
c 1695
 
4.7%
a 1695
 
4.7%
V 1695
 
4.7%
v 1695
 
4.7%
d 1695
 
4.7%
h 1695
 
4.7%
t 1695
 
4.7%
Other values (4) 5401
14.9%
Common
ValueCountFrequency (%)
. 3609
14.1%
3390
13.3%
1 3095
12.1%
2 2791
10.9%
3 2342
9.2%
4 1966
7.7%
5 1741
6.8%
6 1518
5.9%
7 1409
 
5.5%
9 1394
 
5.4%
Other values (2) 2327
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61847
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
M 8829
 
14.3%
i 5085
 
8.2%
e 5085
 
8.2%
. 3609
 
5.8%
3390
 
5.5%
1 3095
 
5.0%
2 2791
 
4.5%
3 2342
 
3.8%
4 1966
 
3.2%
5 1741
 
2.8%
Other values (16) 23914
38.7%

Installs
Categorical

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size169.4 KiB
1,000,000+
1579 
10,000,000+
1252 
100,000+
1169 
10,000+
1054 
1,000+
907 
Other values (16)
4879 

Length

Max length14
Median length11
Mean length7.9188192
Min length1

Characters and Unicode

Total characters85840
Distinct characters5
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row10,000+
2nd row500,000+
3rd row5,000,000+
4th row50,000,000+
5th row100,000+

Common Values

ValueCountFrequency (%)
1,000,000+ 1579
14.6%
10,000,000+ 1252
11.5%
100,000+ 1169
10.8%
10,000+ 1054
9.7%
1,000+ 907
8.4%
5,000,000+ 752
 
6.9%
100+ 719
 
6.6%
500,000+ 539
 
5.0%
50,000+ 479
 
4.4%
5,000+ 477
 
4.4%
Other values (11) 1913
17.6%

Length

2023-10-16T11:58:19.970831image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1,000,000 1579
14.6%
10,000,000 1252
11.5%
100,000 1169
10.8%
10,000 1054
9.7%
1,000 907
8.4%
5,000,000 752
 
6.9%
100 719
 
6.6%
500,000 539
 
5.0%
50,000 479
 
4.4%
5,000 477
 
4.4%
Other values (10) 1913
17.6%

Most occurring characters

ValueCountFrequency (%)
0 50671
59.0%
, 13505
 
15.7%
+ 10839
 
12.6%
1 7600
 
8.9%
5 3225
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 61496
71.6%
Other Punctuation 13505
 
15.7%
Math Symbol 10839
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 50671
82.4%
1 7600
 
12.4%
5 3225
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 13505
100.0%
Math Symbol
ValueCountFrequency (%)
+ 10839
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 85840
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 50671
59.0%
, 13505
 
15.7%
+ 10839
 
12.6%
1 7600
 
8.9%
5 3225
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 85840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50671
59.0%
, 13505
 
15.7%
+ 10839
 
12.6%
1 7600
 
8.9%
5 3225
 
3.8%

Type
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size169.4 KiB
Free
10039 
Paid
 
800

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters43356
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFree
2nd rowFree
3rd rowFree
4th rowFree
5th rowFree

Common Values

ValueCountFrequency (%)
Free 10039
92.6%
Paid 800
 
7.4%
(Missing) 1
 
< 0.1%

Length

2023-10-16T11:58:20.150863image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-16T11:58:20.287035image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
ValueCountFrequency (%)
free 10039
92.6%
paid 800
 
7.4%

Most occurring characters

ValueCountFrequency (%)
e 20078
46.3%
F 10039
23.2%
r 10039
23.2%
P 800
 
1.8%
a 800
 
1.8%
i 800
 
1.8%
d 800
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 32517
75.0%
Uppercase Letter 10839
 
25.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 20078
61.7%
r 10039
30.9%
a 800
 
2.5%
i 800
 
2.5%
d 800
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
F 10039
92.6%
P 800
 
7.4%

Most occurring scripts

ValueCountFrequency (%)
Latin 43356
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 20078
46.3%
F 10039
23.2%
r 10039
23.2%
P 800
 
1.8%
a 800
 
1.8%
i 800
 
1.8%
d 800
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43356
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 20078
46.3%
F 10039
23.2%
r 10039
23.2%
P 800
 
1.8%
a 800
 
1.8%
i 800
 
1.8%
d 800
 
1.8%

Price
Text

Distinct92
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size169.4 KiB
2023-10-16T11:58:20.437980image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.3055351
Min length1

Characters and Unicode

Total characters14152
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)0.5%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 10040
92.6%
0.99 148
 
1.4%
2.99 129
 
1.2%
1.99 73
 
0.7%
4.99 72
 
0.7%
3.99 63
 
0.6%
1.49 46
 
0.4%
5.99 30
 
0.3%
2.49 26
 
0.2%
9.99 21
 
0.2%
Other values (82) 192
 
1.8%
2023-10-16T11:58:20.820182image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10245
72.4%
9 1477
 
10.4%
$ 800
 
5.7%
. 800
 
5.7%
4 220
 
1.6%
2 193
 
1.4%
1 189
 
1.3%
3 104
 
0.7%
5 52
 
0.4%
6 31
 
0.2%
Other values (2) 41
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12552
88.7%
Currency Symbol 800
 
5.7%
Other Punctuation 800
 
5.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10245
81.6%
9 1477
 
11.8%
4 220
 
1.8%
2 193
 
1.5%
1 189
 
1.5%
3 104
 
0.8%
5 52
 
0.4%
6 31
 
0.2%
7 23
 
0.2%
8 18
 
0.1%
Currency Symbol
ValueCountFrequency (%)
$ 800
100.0%
Other Punctuation
ValueCountFrequency (%)
. 800
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14152
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10245
72.4%
9 1477
 
10.4%
$ 800
 
5.7%
. 800
 
5.7%
4 220
 
1.6%
2 193
 
1.4%
1 189
 
1.3%
3 104
 
0.7%
5 52
 
0.4%
6 31
 
0.2%
Other values (2) 41
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10245
72.4%
9 1477
 
10.4%
$ 800
 
5.7%
. 800
 
5.7%
4 220
 
1.6%
2 193
 
1.4%
1 189
 
1.3%
3 104
 
0.7%
5 52
 
0.4%
6 31
 
0.2%
Other values (2) 41
 
0.3%

Content Rating
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size169.4 KiB
Everyone
8714 
Teen
1208 
Mature 17+
 
499
Everyone 10+
 
414
Adults only 18+
 
3

Length

Max length15
Median length8
Mean length7.8008303
Min length4

Characters and Unicode

Total characters84561
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEveryone
2nd rowEveryone
3rd rowEveryone
4th rowTeen
5th rowEveryone

Common Values

ValueCountFrequency (%)
Everyone 8714
80.4%
Teen 1208
 
11.1%
Mature 17+ 499
 
4.6%
Everyone 10+ 414
 
3.8%
Adults only 18+ 3
 
< 0.1%
Unrated 2
 
< 0.1%

Length

2023-10-16T11:58:21.010050image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-16T11:58:21.160135image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
ValueCountFrequency (%)
everyone 9128
77.6%
teen 1208
 
10.3%
mature 499
 
4.2%
17 499
 
4.2%
10 414
 
3.5%
adults 3
 
< 0.1%
only 3
 
< 0.1%
18 3
 
< 0.1%
unrated 2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
e 21173
25.0%
n 10341
12.2%
r 9629
11.4%
y 9131
10.8%
o 9131
10.8%
E 9128
10.8%
v 9128
10.8%
T 1208
 
1.4%
919
 
1.1%
+ 916
 
1.1%
Other values (13) 3857
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 70054
82.8%
Uppercase Letter 10840
 
12.8%
Decimal Number 1832
 
2.2%
Space Separator 919
 
1.1%
Math Symbol 916
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 21173
30.2%
n 10341
14.8%
r 9629
13.7%
y 9131
13.0%
o 9131
13.0%
v 9128
13.0%
t 504
 
0.7%
u 502
 
0.7%
a 501
 
0.7%
l 6
 
< 0.1%
Other values (2) 8
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
E 9128
84.2%
T 1208
 
11.1%
M 499
 
4.6%
A 3
 
< 0.1%
U 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 916
50.0%
7 499
27.2%
0 414
22.6%
8 3
 
0.2%
Space Separator
ValueCountFrequency (%)
919
100.0%
Math Symbol
ValueCountFrequency (%)
+ 916
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 80894
95.7%
Common 3667
 
4.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 21173
26.2%
n 10341
12.8%
r 9629
11.9%
y 9131
11.3%
o 9131
11.3%
E 9128
11.3%
v 9128
11.3%
T 1208
 
1.5%
t 504
 
0.6%
u 502
 
0.6%
Other values (7) 1019
 
1.3%
Common
ValueCountFrequency (%)
919
25.1%
+ 916
25.0%
1 916
25.0%
7 499
13.6%
0 414
11.3%
8 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 84561
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 21173
25.0%
n 10341
12.2%
r 9629
11.4%
y 9131
10.8%
o 9131
10.8%
E 9128
10.8%
v 9128
10.8%
T 1208
 
1.4%
919
 
1.1%
+ 916
 
1.1%
Other values (13) 3857
 
4.6%

Genres
Text

Distinct119
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size169.4 KiB
2023-10-16T11:58:21.366832image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Length

Max length37
Median length32
Mean length10.422048
Min length4

Characters and Unicode

Total characters112975
Distinct characters43
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)0.2%

Sample

1st rowArt & Design
2nd rowArt & Design;Pretend Play
3rd rowArt & Design
4th rowArt & Design
5th rowArt & Design;Creativity
ValueCountFrequency (%)
2073
 
13.4%
tools 842
 
5.5%
entertainment 623
 
4.0%
education 549
 
3.6%
medical 463
 
3.0%
business 460
 
3.0%
productivity 424
 
2.7%
sports 398
 
2.6%
personalization 392
 
2.5%
communication 387
 
2.5%
Other values (125) 8836
57.2%
2023-10-16T11:58:21.820747image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 9816
 
8.7%
o 9089
 
8.0%
e 8939
 
7.9%
n 8905
 
7.9%
t 8623
 
7.6%
a 8618
 
7.6%
s 6282
 
5.6%
4607
 
4.1%
l 4601
 
4.1%
r 4532
 
4.0%
Other values (33) 38963
34.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 91925
81.4%
Uppercase Letter 13872
 
12.3%
Space Separator 4607
 
4.1%
Other Punctuation 2571
 
2.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 9816
10.7%
o 9089
9.9%
e 8939
9.7%
n 8905
9.7%
t 8623
9.4%
a 8618
9.4%
s 6282
 
6.8%
l 4601
 
5.0%
r 4532
 
4.9%
c 4395
 
4.8%
Other values (13) 18125
19.7%
Uppercase Letter
ValueCountFrequency (%)
P 1859
13.4%
E 1782
12.8%
S 1286
9.3%
A 1141
8.2%
T 1140
8.2%
M 956
 
6.9%
B 880
 
6.3%
C 845
 
6.1%
F 836
 
6.0%
L 726
 
5.2%
Other values (7) 2421
17.5%
Other Punctuation
ValueCountFrequency (%)
& 2073
80.6%
; 498
 
19.4%
Space Separator
ValueCountFrequency (%)
4607
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 105797
93.6%
Common 7178
 
6.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 9816
 
9.3%
o 9089
 
8.6%
e 8939
 
8.4%
n 8905
 
8.4%
t 8623
 
8.2%
a 8618
 
8.1%
s 6282
 
5.9%
l 4601
 
4.3%
r 4532
 
4.3%
c 4395
 
4.2%
Other values (30) 31997
30.2%
Common
ValueCountFrequency (%)
4607
64.2%
& 2073
28.9%
; 498
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 112975
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 9816
 
8.7%
o 9089
 
8.0%
e 8939
 
7.9%
n 8905
 
7.9%
t 8623
 
7.6%
a 8618
 
7.6%
s 6282
 
5.6%
4607
 
4.1%
l 4601
 
4.1%
r 4532
 
4.0%
Other values (33) 38963
34.5%

Last Updated
Date

Distinct1377
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Memory size169.4 KiB
Minimum2010-05-21 00:00:00
Maximum2018-08-08 00:00:00
2023-10-16T11:58:22.039178image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
2023-10-16T11:58:22.261163image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Current Ver
Text

Distinct2831
Distinct (%)26.1%
Missing8
Missing (%)0.1%
Memory size169.4 KiB
2023-10-16T11:58:22.535577image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Length

Max length50
Median length47
Mean length6.8733383
Min length1

Characters and Unicode

Total characters74452
Distinct characters79
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1810 ?
Unique (%)16.7%

Sample

1st row1.0.0
2nd row2.0.0
3rd row1.2.4
4th rowVaries with device
5th row1.1
ValueCountFrequency (%)
varies 1459
 
10.5%
with 1459
 
10.5%
device 1459
 
10.5%
1.0 814
 
5.8%
1.1 266
 
1.9%
1.2 178
 
1.3%
2.0 154
 
1.1%
1.3 147
 
1.1%
1.0.0 136
 
1.0%
1.0.1 120
 
0.9%
Other values (2867) 7734
55.5%
2023-10-16T11:58:23.013119image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 15513
20.8%
1 8916
12.0%
0 5818
 
7.8%
e 4508
 
6.1%
i 4464
 
6.0%
2 4316
 
5.8%
3094
 
4.2%
3 2771
 
3.7%
4 2164
 
2.9%
5 1729
 
2.3%
Other values (69) 21159
28.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30681
41.2%
Lowercase Letter 23103
31.0%
Other Punctuation 15526
20.9%
Space Separator 3094
 
4.2%
Uppercase Letter 1762
 
2.4%
Dash Punctuation 133
 
0.2%
Connector Punctuation 61
 
0.1%
Open Punctuation 39
 
0.1%
Close Punctuation 39
 
0.1%
Math Symbol 12
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 4508
19.5%
i 4464
19.3%
a 1579
 
6.8%
r 1565
 
6.8%
d 1551
 
6.7%
v 1517
 
6.6%
s 1506
 
6.5%
t 1506
 
6.5%
c 1500
 
6.5%
w 1477
 
6.4%
Other values (16) 1930
8.4%
Uppercase Letter
ValueCountFrequency (%)
V 1479
83.9%
A 31
 
1.8%
C 24
 
1.4%
R 24
 
1.4%
B 21
 
1.2%
P 21
 
1.2%
S 18
 
1.0%
E 18
 
1.0%
T 16
 
0.9%
D 15
 
0.9%
Other values (15) 95
 
5.4%
Decimal Number
ValueCountFrequency (%)
1 8916
29.1%
0 5818
19.0%
2 4316
14.1%
3 2771
 
9.0%
4 2164
 
7.1%
5 1729
 
5.6%
6 1437
 
4.7%
7 1339
 
4.4%
8 1169
 
3.8%
9 1022
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 15513
99.9%
/ 4
 
< 0.1%
, 4
 
< 0.1%
: 3
 
< 0.1%
; 1
 
< 0.1%
' 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 132
99.2%
– 1
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 38
97.4%
[ 1
 
2.6%
Close Punctuation
ValueCountFrequency (%)
) 38
97.4%
] 1
 
2.6%
Math Symbol
ValueCountFrequency (%)
+ 9
75.0%
| 3
 
25.0%
Space Separator
ValueCountFrequency (%)
3094
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 61
100.0%
Other Symbol
ValueCountFrequency (%)
® 1
100.0%
Other Number
ValueCountFrequency (%)
³ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 49587
66.6%
Latin 24865
33.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 4508
18.1%
i 4464
18.0%
a 1579
 
6.4%
r 1565
 
6.3%
d 1551
 
6.2%
v 1517
 
6.1%
s 1506
 
6.1%
t 1506
 
6.1%
c 1500
 
6.0%
V 1479
 
5.9%
Other values (41) 3690
14.8%
Common
ValueCountFrequency (%)
. 15513
31.3%
1 8916
18.0%
0 5818
 
11.7%
2 4316
 
8.7%
3094
 
6.2%
3 2771
 
5.6%
4 2164
 
4.4%
5 1729
 
3.5%
6 1437
 
2.9%
7 1339
 
2.7%
Other values (18) 2490
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 74448
> 99.9%
None 3
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 15513
20.8%
1 8916
12.0%
0 5818
 
7.8%
e 4508
 
6.1%
i 4464
 
6.0%
2 4316
 
5.8%
3094
 
4.2%
3 2771
 
3.7%
4 2164
 
2.9%
5 1729
 
2.3%
Other values (65) 21155
28.4%
Punctuation
ValueCountFrequency (%)
– 1
100.0%
None
ValueCountFrequency (%)
® 1
33.3%
à 1
33.3%
³ 1
33.3%

Android Ver
Categorical

Distinct33
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Memory size169.4 KiB
4.1 and up
2451 
4.0.3 and up
1501 
4.0 and up
1375 
Varies with device
1362 
4.4 and up
980 
Other values (28)
3169 

Length

Max length18
Median length10
Mean length11.337239
Min length9

Characters and Unicode

Total characters122873
Distinct characters28
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row4.0.3 and up
2nd row4.0.3 and up
3rd row4.0.3 and up
4th row4.2 and up
5th row4.4 and up

Common Values

ValueCountFrequency (%)
4.1 and up 2451
22.6%
4.0.3 and up 1501
13.8%
4.0 and up 1375
12.7%
Varies with device 1362
12.6%
4.4 and up 980
 
9.0%
2.3 and up 652
 
6.0%
5.0 and up 601
 
5.5%
4.2 and up 394
 
3.6%
2.3.3 and up 281
 
2.6%
2.2 and up 244
 
2.3%
Other values (23) 997
9.2%

Length

2023-10-16T11:58:23.203353image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
and 9467
29.1%
up 9467
29.1%
4.1 2452
 
7.5%
4.0.3 1503
 
4.6%
4.0 1375
 
4.2%
varies 1362
 
4.2%
with 1362
 
4.2%
device 1362
 
4.2%
4.4 980
 
3.0%
2.3 652
 
2.0%
Other values (22) 2532
 
7.8%

Most occurring characters

ValueCountFrequency (%)
21676
17.6%
. 11282
9.2%
a 10829
8.8%
d 10829
8.8%
n 9467
 
7.7%
u 9467
 
7.7%
p 9467
 
7.7%
4 7951
 
6.5%
i 4086
 
3.3%
e 4086
 
3.3%
Other values (18) 23733
19.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 67765
55.2%
Space Separator 21676
 
17.6%
Decimal Number 20767
 
16.9%
Other Punctuation 11282
 
9.2%
Uppercase Letter 1374
 
1.1%
Dash Punctuation 9
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 10829
16.0%
d 10829
16.0%
n 9467
14.0%
u 9467
14.0%
p 9467
14.0%
i 4086
 
6.0%
e 4086
 
6.0%
h 1362
 
2.0%
c 1362
 
2.0%
v 1362
 
2.0%
Other values (4) 5448
8.0%
Decimal Number
ValueCountFrequency (%)
4 7951
38.3%
0 3877
18.7%
3 3247
15.6%
1 2780
 
13.4%
2 2026
 
9.8%
5 649
 
3.1%
6 177
 
0.9%
7 52
 
0.3%
8 8
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
V 1362
99.1%
W 12
 
0.9%
Space Separator
ValueCountFrequency (%)
21676
100.0%
Other Punctuation
ValueCountFrequency (%)
. 11282
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 69139
56.3%
Common 53734
43.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 10829
15.7%
d 10829
15.7%
n 9467
13.7%
u 9467
13.7%
p 9467
13.7%
i 4086
 
5.9%
e 4086
 
5.9%
h 1362
 
2.0%
c 1362
 
2.0%
V 1362
 
2.0%
Other values (6) 6822
9.9%
Common
ValueCountFrequency (%)
21676
40.3%
. 11282
21.0%
4 7951
 
14.8%
0 3877
 
7.2%
3 3247
 
6.0%
1 2780
 
5.2%
2 2026
 
3.8%
5 649
 
1.2%
6 177
 
0.3%
7 52
 
0.1%
Other values (2) 17
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 122873
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21676
17.6%
. 11282
9.2%
a 10829
8.8%
d 10829
8.8%
n 9467
 
7.7%
u 9467
 
7.7%
p 9467
 
7.7%
4 7951
 
6.5%
i 4086
 
3.3%
e 4086
 
3.3%
Other values (18) 23733
19.3%

Interactions

2023-10-16T11:56:36.283363image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
2023-10-16T11:55:43.951113image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
2023-10-16T11:57:00.244973image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
2023-10-16T11:55:44.227881image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Correlations

2023-10-16T11:58:23.337503image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
RatingReviewsCategoryInstallsTypeContent RatingAndroid Ver
Rating1.000-0.0120.0850.1760.0710.0400.071
Reviews-0.0121.0000.2100.0000.0000.4430.000
Category0.0850.2101.0000.1120.1980.3470.090
Installs0.1760.0000.1121.0000.2660.0860.099
Type0.0710.0000.1980.2661.0000.0480.187
Content Rating0.0400.4430.3470.0860.0481.0000.051
Android Ver0.0710.0000.0900.0990.1870.0511.000

Missing values

2023-10-16T11:58:16.366623image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-10-16T11:58:16.658277image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-10-16T11:58:16.865528image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

AppCategoryRatingReviewsSizeInstallsTypePriceContent RatingGenresLast UpdatedCurrent VerAndroid Ver
0Photo Editor & Candy Camera & Grid & ScrapBookART_AND_DESIGN4.115919M10,000+Free0EveryoneArt & DesignJanuary 7, 20181.0.04.0.3 and up
1Coloring book moanaART_AND_DESIGN3.996714M500,000+Free0EveryoneArt & Design;Pretend PlayJanuary 15, 20182.0.04.0.3 and up
2U Launcher Lite – FREE Live Cool Themes, Hide AppsART_AND_DESIGN4.7875108.7M5,000,000+Free0EveryoneArt & DesignAugust 1, 20181.2.44.0.3 and up
3Sketch - Draw & PaintART_AND_DESIGN4.521564425M50,000,000+Free0TeenArt & DesignJune 8, 2018Varies with device4.2 and up
4Pixel Draw - Number Art Coloring BookART_AND_DESIGN4.39672.8M100,000+Free0EveryoneArt & Design;CreativityJune 20, 20181.14.4 and up
5Paper flowers instructionsART_AND_DESIGN4.41675.6M50,000+Free0EveryoneArt & DesignMarch 26, 20171.02.3 and up
6Smoke Effect Photo Maker - Smoke EditorART_AND_DESIGN3.817819M50,000+Free0EveryoneArt & DesignApril 26, 20181.14.0.3 and up
7Infinite PainterART_AND_DESIGN4.13681529M1,000,000+Free0EveryoneArt & DesignJune 14, 20186.1.61.14.2 and up
8Garden Coloring BookART_AND_DESIGN4.41379133M1,000,000+Free0EveryoneArt & DesignSeptember 20, 20172.9.23.0 and up
9Kids Paint Free - Drawing FunART_AND_DESIGN4.71213.1M10,000+Free0EveryoneArt & Design;CreativityJuly 3, 20182.84.0.3 and up
AppCategoryRatingReviewsSizeInstallsTypePriceContent RatingGenresLast UpdatedCurrent VerAndroid Ver
10831payermonstationnement.frMAPS_AND_NAVIGATIONNaN389.8M5,000+Free0EveryoneMaps & NavigationJune 13, 20182.0.148.04.0 and up
10832FR TidesWEATHER3.81195582k100,000+Free0EveryoneWeatherFebruary 16, 20146.02.1 and up
10833Chemin (fr)BOOKS_AND_REFERENCE4.844619k1,000+Free0EveryoneBooks & ReferenceMarch 23, 20140.82.2 and up
10834FR CalculatorFAMILY4.072.6M500+Free0EveryoneEducationJune 18, 20171.0.04.1 and up
10835FR FormsBUSINESSNaN09.6M10+Free0EveryoneBusinessSeptember 29, 20161.1.54.0 and up
10836Sya9a Maroc - FRFAMILY4.53853M5,000+Free0EveryoneEducationJuly 25, 20171.484.1 and up
10837Fr. Mike Schmitz Audio TeachingsFAMILY5.043.6M100+Free0EveryoneEducationJuly 6, 20181.04.1 and up
10838Parkinson Exercices FRMEDICALNaN39.5M1,000+Free0EveryoneMedicalJanuary 20, 20171.02.2 and up
10839The SCP Foundation DB fr nn5nBOOKS_AND_REFERENCE4.5114Varies with device1,000+Free0Mature 17+Books & ReferenceJanuary 19, 2015Varies with deviceVaries with device
10840iHoroscope - 2018 Daily Horoscope & AstrologyLIFESTYLE4.539830719M10,000,000+Free0EveryoneLifestyleJuly 25, 2018Varies with deviceVaries with device

Duplicate rows

Most frequently occurring

AppCategoryRatingReviewsSizeInstallsTypePriceContent RatingGenresLast UpdatedCurrent VerAndroid Ver# duplicates
59CBS Sports App - Scores, News, Stats & Watch LiveSPORTS4.391031Varies with device5,000,000+Free0EveryoneSportsAugust 4, 2018Varies with device5.0 and up4
159Google KeepPRODUCTIVITY4.4691474Varies with device100,000,000+Free0EveryoneProductivityAugust 6, 2018Varies with deviceVaries with device4
253NickENTERTAINMENT4.212327925M10,000,000+Free0Everyone 10+Entertainment;Music & VideoJanuary 24, 20182.0.84.4 and up4
285Quizlet: Learn Languages & Vocab with FlashcardsEDUCATION4.6211856Varies with device10,000,000+Free0EveryoneEducationAugust 1, 2018Varies with deviceVaries with device4
316SkyscannerTRAVEL_AND_LOCAL4.548154629M10,000,000+Free0EveryoneTravel & LocalAugust 6, 20185.484.4 and up4
372WatchESPNSPORTS4.12888096.6M10,000,000+Free0EveryoneSportsSeptember 27, 20172.5.14.4 and up4
395eBay: Buy & Sell this Summer - Discover Deals Now!SHOPPING4.42788923Varies with device100,000,000+Free0TeenShoppingJuly 30, 2018Varies with deviceVaries with device4
7A&E - Watch Full Episodes of TV ShowsENTERTAINMENT4.02970619M1,000,000+Free0TeenEntertainmentJuly 16, 20183.1.44.4 and up3
14Adult Dirty EmojisDATING2.8805.5M10,000+Free0TeenDatingNovember 6, 20171.04.0.3 and up3
28BBC NewsNEWS_AND_MAGAZINES4.3296781Varies with device10,000,000+Free0Everyone 10+News & MagazinesJuly 24, 2018Varies with deviceVaries with device3